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Data Engineering Intern Jobs in Mississippi (NOW HIRING)

$18 - $25/hr

Computer Science * Cyber Security * Data Science/Analytics * Economics/Statistics * Information ... Software Engineering * Master of Business Administration (MBA) Qualifications: * Currently enrolled ...

$18 - $25/hr

Computer Science * Cyber Security * Data Science/Analytics * Economics/Statistics * Information ... Software Engineering * Master of Business Administration (MBA) Qualifications: * Currently enrolled ...

$18 - $25/hr

Computer Science * Cyber Security * Data Science/Analytics * Economics/Statistics * Information ... Software Engineering * Master of Business Administration (MBA) Qualifications: * Currently enrolled ...

$18 - $25/hr

Computer Science * Cyber Security * Data Science/Analytics * Economics/Statistics * Information ... Software Engineering * Master of Business Administration (MBA) Qualifications: * Currently enrolled ...

$18 - $25/hr

Computer Science * Cyber Security * Data Science/Analytics * Economics/Statistics * Information ... Software Engineering * Master of Business Administration (MBA) Qualifications: * Currently enrolled ...

$18 - $25/hr

Computer Science * Cyber Security * Data Science/Analytics * Economics/Statistics * Information ... Software Engineering * Master of Business Administration (MBA) Qualifications: * Currently enrolled ...

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Data Engineering Intern information

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What are the key skills and qualifications needed to thrive as a data engineering intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Engineering jobs in Mississippi?

The most popular types of Data Engineering jobs in Mississippi are:

What cities in Mississippi are hiring for Data Engineering Intern jobs?

Cities in Mississippi with the most Data Engineering Intern job openings:

Infographic showing various Data Engineering Intern job openings in Mississippi as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineering Cooperative Education Intern

Jackson, MS

Southern Farm Bureau Life Insurance Co
Insurance Services • 501 - 1,000 employees

$14.50 - $18.75/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Job Opportunity: Data Engineer Intern (Cooperative Education) at Southern Farm Bureau Life Insurance Company

Company Overview: Southern Farm Bureau Life Insurance is a leading provider of life insurance and financial services. We are committed to serving our policyholders and communities with integrity and excellence. As a Data Engineer intern, you’ll be an essential part of our team, contributing to the success of our organization.

Location: Jackson, MS

Role and Responsibilities: The Data Engineering Intern supports SFBLIC's data modernization efforts by helping prepare, organize, and maintain data used for reporting, analytics, and business decision-making. The intern will work with experienced data engineers to learn how data moves from source systems into trusted data products and will help ensure data is accurate, reliable, and easy to use.

 

Your responsibilities will include:

  • Assist with building and maintaining data pipelines that move data between systems.
  • Help monitor data processes and report issues affecting data quality or availability.
  • Support data validation, testing, and documentation activities.
  • Work with data engineers, analysts, and business teams to understand data needs and support reporting solutions.
  • Assist in creating and documenting datasets, metadata, and business definitions.
  • Gain exposure to cloud data platforms, reporting tools, and emerging AI-related data use cases

Qualifications:

  • Pursuing a BS Undergraduate in Computer Science, Math, Information Systems, Data Science or Statistics.
  • Maintain a minimum 3.0 GPA
  • Working knowledge of Python and SQL.
  • Good interpersonal and communication skills
  • Driven, Curious, and takes initiative to contribute beyond assigned tasks

Employee Benefits: We value our employees’ well-being and offer a comprehensive benefits package:

  1. Health Insurance:
    • Comprehensive coverage for employees and their families.
    • Access to an onsite clinic, preventive care, and prescription drugs.
    • Mental health coverage and an Employee Assistance Program.
  2. Active Lifestyle Rewards Program:
    • Incentives for maintaining an active lifestyle.
    • Rewards for participating in fitness challenges and wellness activities.
  3. Weight Management Programs:
    • Customized weight management plans.
    • Support for achieving and maintaining a healthy weight.
  4. Employee Engagement:
    • Opportunities to connect with colleagues.
    • Fun teambuilding activities.
  5. Annual events for employees and their families
    • Company Picnic, Thanksgiving lunch, Christmas Reception.
    • Family Fun Night
  6. Onsite Cafe:
    • Convenient access to nutritious meals.
    • Promoting healthy eating habits.
  7. Learning & Development:
    • Continuous learning opportunities.
    • Tuition reimbursement for further education.
  8. Mentorship Programs:
    • Pairing employees with mentors.
    • Professional growth and guidance.
  9. Promotional Opportunities:
    • Advancement within the company.
    • Career growth prospects.
  10. Life Insurance and Company-Funded Pension:
    • Financial security for employees and beneficiaries.
    • Retirement planning.
  11. Volunteer Days:
    • Paid time off for volunteering.
    • Contributing to the community.